The basic purpose of the economic design of the control charts is to find the optimum control charts parameters to minimize the process cost. In this paper, an R package, edcc (economic design of control charts), which provides a numerical method to find the optimum chart parameters is presented using the unified approach of the economic design. Also, some examples are given to illustrate how to use this package. The types of the control chart available in the edcc package are X?, CUSUM (cumulative sum), and EWMA (exponentially-weighted moving average) control charts
Control chart is the most widely used tools for statistical process control. For detecting shift in ...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
To determine the economic design of control charts and the specification limits with minimum cost ar...
Designing of parameters plays an important role in economic design of control charts for lowering th...
Cataloged from PDF version of article.For monitoring the stability of a process, various control cha...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
In statistical process control, control charts are one tool for monitoring the control status of a p...
Includes bibliographical references (pages [75]-78)Over the past forty years, many models have been ...
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are ...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Cataloged from PDF version of article.Control charts with exponentially weighted moving average (EWM...
In this paper we investigate the characteristics of economic control chart designs for both Shewha...
When an economic-statistical model for a control chart is considered the effect of the choice of the...
peer reviewedIn this paper we investigate the characteristics of economic control chart designs for...
Abstract In this article, we have proposed an economic design of Exponentially Weighted Moving Avera...
Control chart is the most widely used tools for statistical process control. For detecting shift in ...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
To determine the economic design of control charts and the specification limits with minimum cost ar...
Designing of parameters plays an important role in economic design of control charts for lowering th...
Cataloged from PDF version of article.For monitoring the stability of a process, various control cha...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
In statistical process control, control charts are one tool for monitoring the control status of a p...
Includes bibliographical references (pages [75]-78)Over the past forty years, many models have been ...
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are ...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Cataloged from PDF version of article.Control charts with exponentially weighted moving average (EWM...
In this paper we investigate the characteristics of economic control chart designs for both Shewha...
When an economic-statistical model for a control chart is considered the effect of the choice of the...
peer reviewedIn this paper we investigate the characteristics of economic control chart designs for...
Abstract In this article, we have proposed an economic design of Exponentially Weighted Moving Avera...
Control chart is the most widely used tools for statistical process control. For detecting shift in ...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
To determine the economic design of control charts and the specification limits with minimum cost ar...